Computational Intelligence
- Cod y Modiwl
- CSM6520
- Teitl y Modiwl
- Computational Intelligence
- Blwyddyn Academaidd
- 2027/2028
- Semester
- Semester 2
- Cyd-gysylltydd y Modiwl
- Dr Neil Mac Parthalain
- Rhestr Ddarllen
- Gweld ar Aspire
- Rhagofynion
-
CSM6120
- Staff Eraill sy'n Cyfrannu
- Dr Praboda Rajapaksha
- Dr Arina Buzdalova
- Professor Tossapon Boongoen
- Dr Yasir Saleem Shaikh
Dulliau Asesu
|
Math o Asesiad |
Manylion Asesiad |
Cyfran |
|---|---|---|
| Asesiad Semester | Essay: (2,000 words) | 40% |
| Arholiad Semester | 2 Awr | 60% |
| Asesiad Ailsefyll | Essay: (2,000 words) | 40% |
| Arholiad Ailsefyll | 2 Awr | 60% |
Canlyniadau Dysgu
Wedi cwblhau'r modiwl dylai'r myfyrwyr fedru:
- 1. Decide if computational intelligence methods should be applied to solve a given problem and explain the advantages and drawbacks of the different approaches for the given problem.
- 2. Design evolutionary algorithms for a given application including the use of appropriate representation and operators.
- 3. Design a fuzzy system for a given application.
- 4. Design artificial neural networks for a given application including the choice of network and learning method.
- 5. Discuss limits of applicability of the different computational intelligence approaches.
Disgrifiad cryno
Computational intelligence as an umbrella term encompasses artificial neural networks, fuzzy logic, and evolutionary computation. It describes the area of Artificial Intelligence that is concerned with sub-symbolic forms of artificial intelligence. All three areas are covered separately and studied in sufficient detail to allow students to decide about the applicability of the different approaches for given problems and apply appropriate methods for problem solving in different contexts.
Cynnwys
Evolutionary computation: evolutionary algorithms; representations; operators; design and analysis of evolutionary algorithms; applications
Fuzzy logic and extensions: fuzzy sets; rough sets; fuzzy logic; fuzzy fuzzy inference; fuzzy relations; applications
Artificial neural networks: perceptron, layered networks, back propagation; convolution neural networks and deep learning; applications
Hybrid approaches.
Sgiliau Modiwl
|
Math o Sgiliau |
Manylion Sgiliau |
|---|---|
| Cyfathrebu | Written communication is essential for the essay writing assignment. |
| Datblygu personol a chynllunio gyrfa | Not explicit part of this module. |
| Datrys Problemau | Inherent to the subject of computational intelligence. |
| Gwaith Tim | Team work is not part of this module. |
| Gwella dysgu a pherfformiad ei hun | Essential for the essay writing assignment. |
| Rhifedd | Important aspect of Computational Intelligence, in particular fuzzy logic. |
| Sgiliau pwnc penodol | Inherent to the subject of the module. |
| Sgiliau ymchwil | Significant part of preparation for the essay writing assignment. |
| Technoleg Gwybodaeth | Inherent to Computer Science. |
Nodau
Mae'r modiwl hwn yn cydymffurfio a FfCChC Lefel 7
Computer Science,Aberystwyth University, Llandinam Building, Penglais, Aberystwyth,
01970 622424 : +44 : +44 (0)1970 622021
cs-office@aber.ac.uk: cs-office@aber.ac.uk
